Learning the gene coexpression pattern is a central challenge for high-dimensional gene expression analysis. Recently, sparse singular value decomposition (SVD) has been used to achieve this goal.

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Abstract: In this paper, we first investigate the nonnegative block value decomposition (NBVD) approach through graph-based representation for clustering called G-NBVD. Then, we propose our three-step ...